Solutions Engineer

November 20

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Foxglove

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SaaS • Artificial Intelligence • B2B

Foxglove is a purpose-built infrastructure platform for Physical AI that enables robotics teams to collect, visualize, and manage large volumes of multimodal sensor and operational data to build, train, deploy, and operate reliable robots. The platform provides live and recorded data visualization, data serialization and management, SDKs and agents for importing and streaming data, integrations, extensibility (custom panels, APIs/CLI), and collaboration tools for debugging and accelerating development. Foxglove is positioned as a software solution used by robotics and autonomy companies to speed iteration, resolve issues, and scale fleets.

11 - 50 employees

Founded 2021

☁️ SaaS

🤖 Artificial Intelligence

🤝 B2B

📋 Description

• Technical solution design: Collaborate with customer engineering teams to understand their data architecture and design scalable ingestion, storage, and visualization workflows tailored to their systems and requirements. • Demonstrations and evaluations: Build and deliver technical demos and proof-of-concepts that mirror real-world data pipelines, showcasing how Foxglove integrates with existing infrastructure and tools. • Onboarding and integration: Guide customers from initial setup through production deployment, ensuring seamless data flow between their systems and Foxglove for reliable, high-performance operation. • Problem-solving and troubleshooting: Diagnose and resolve complex data, performance, and interoperability issues during evaluations and early deployments, partnering closely with both customer and internal engineering teams. • Product feedback: Provide structured insights and feature requests to Foxglove’s product team based on direct technical engagement and real-world data infrastructure use cases. • Collaboration with sales: Act as the technical partner during the pre-sales process, translating customer needs into robust, scalable data solutions that demonstrate Foxglove’s value.

🎯 Requirements

• 8+ years of experience in data infrastructure, systems, or backend engineering, including hands-on work with distributed systems, data pipelines, or observability platforms. • 3+ years in a technical customer-facing role such as solutions engineering, sales engineering, or a founder/technical lead position. • Proficiency in Python, Rust, or C++, with the ability to quickly navigate and contribute to diverse codebases. • Familiarity with real-time data streaming, messaging systems, and data visualization tools (e.g., Kafka, Pulsar, Arrow, Grafana, or similar). • Experience with at least one of the top cloud providers (AWS, GCP, Azure). • Strong systems-thinking skills, with the ability to assess complex data architectures and design scalable, performant integration strategies. • Excellent communication skills, able to explain complex technical concepts to both engineers and business stakeholders. • Self-starter who thrives in fast-paced, collaborative startup environments. • Willingness to travel locally, domestically, and occasionally internationally.

🏖️ Benefits

• $300 monthly budget towards commuter benefits or building your personal workspace (remote only) • Competitive equity grant in a Series A company • Medical, Dental, Vision, and Term Life insurance coverage at 100% for employees and 75% for dependents • 401(k) matching up to 4% • 4 weeks vacation, plus holidays and winter break • All expenses paid company off-sites 2× per year